Triple

T11352665
Position Surface form Disambiguated ID Type / Status
Subject Banská Bystrica Region E268872 entity
Predicate containsCity P294 FINISHED
Object Veľký Krtíš E278182 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Veľký Krtíš | Statement: [Banská Bystrica Region, containsCity, Veľký Krtíš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veľký Krtíš
Context triple: [Banská Bystrica Region, containsCity, Veľký Krtíš]
  • A. Veľký Krtíš chosen
    Veľký Krtíš is a small town in southern Slovakia known as an administrative and economic center of the surrounding wine-growing and agricultural region.
  • B. Svätý Jur
    Svätý Jur is a historic small town in western Slovakia known for its wine-making tradition and proximity to the capital, Bratislava.
  • C. Velká Deštná
    Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
  • D. Veliki Borak
    Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
  • E. Velký Meder
    Velký Meder is a spa and tourist town in southwestern Slovakia known for its thermal baths and recreational facilities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
Created at: April 8, 2026, 9:33 p.m.